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A Lightweight Architecture for Real-Time Neuronal-Spike Classification
v1v2 (latest)

A Lightweight Architecture for Real-Time Neuronal-Spike Classification

Muhammad Ali Siddiqi
David Vrijenhoek
Lennart P L Landsmeer
Job van der Kleij
A. Gebregiorgis
V. Romano
R. Bishnoi
Said Hamdioui
Christos Strydis
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Papers citing "A Lightweight Architecture for Real-Time Neuronal-Spike Classification"

4 / 4 papers shown
Title
NiSNN-A: Non-iterative Spiking Neural Networks with Attention with Application to Motor Imagery EEG Classification
NiSNN-A: Non-iterative Spiking Neural Networks with Attention with Application to Motor Imagery EEG Classification
Chuhan Zhang
Wei Pan
Cosimo Della Santina
79
1
0
28 Jan 2025
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Leland McInnes
John Healy
James Melville
214
9,492
0
09 Feb 2018
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
Benoit Jacob
S. Kligys
Bo Chen
Menglong Zhu
Matthew Tang
Andrew G. Howard
Hartwig Adam
Dmitry Kalenichenko
MQ
170
3,148
0
15 Dec 2017
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,433
0
22 Dec 2014

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